Reading Group: Machine Learning Classifiers and fMRI: a tutorial

SpeakerJane Rondina
AffiliationComputer Science Department, UCL
DateWednesday, 02 Mar 2011
Time14:00 - 15:00
LocationRoom 6.12a
Event seriesMachine Learning for Neuroimaging Reading Group
Description

Interpreting brain image experiments requires analysis of complex, multivariate data. In recent years, one analysis approach that has grown in popularity is the use of machine learning algorithms to train classifiers to decode stimuli, mental states, behaviors and other variables of interest from fMRI data and thereby show the data contain information about them. In this tutorial overview we review some of the key choices faced in using this approach as well as how to derive statistically significant results, illustrating each point from a case study.

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